Research on Feed Forward Adaptive-generalized Model Predictive Control for High-speed Train Automatic Operation by LUO Yuan, YI Jie, BAI Jinlei, ZHANG Zhengfang

“…In view of the characteristics of nonlinearity and time-variability of high-speed train model parameters, this paper proposes a feed forward adaptive-generalized model predictive control (FA-GPC) method for dynamic optimization control of the ATO system along with a constrained multi-object predictive controller. …”
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Modeling the impact of COVID-19 on the tourism sector in Mauritius: A dynamic stochastic general equilibrium analysis by Indranarain Ramlall

“…This paper develops a Dynamic Stochastic General Equilibrium model to gauge on the detrimental effects of COVID-19 on the tourism sector and consequently on the macroeconomy of Mauritius. …”
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Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate by Shouying Huang, Jifa Jiang

“…In this paper, we develop and analyze an SIS epidemic model with a general nonlinear incidence rate, as well as degree-dependent birth and natural death, on heterogeneous networks. …”
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Milling Tool Wear State Recognition by Vibration Signal Using a Stacked Generalization Ensemble Model by Yang Hui, Xuesong Mei, Gedong Jiang, Tao Tao, Changyu Pei, Ziwei Ma

“…To improve this problem, this paper explores the use of vibration signals as sensing approach for recognizing tool wear states during milling operation by using the stacked generalization (SG) ensemble model. In this study, vibration signals collected during the milling process are analyzed through the time domain, frequency domain, and time-frequency domain to extract signal features. …”
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A calibration framework toward model generalization for bacteria concentration estimation in water resource recovery facilities by Fahad Aljehani, Ibrahima N’Doye, Pei-Ying Hong, Mohammad Khalil Monjed, Taous-Meriem Laleg-Kirati

“…Although few studies have been proposed to predict bacterial concentrations using data-driven models, generalizing these models to unseen data from different WRRFs remains challenging. …”
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The Pattern of Return Changes based on Profit Forecast Changes with a Behavioral Finance Approach in the Framework of the Role of Anchor bias by Yazdan Gudarzi Farahani, Mehdi Sadeghi, Zuleykha Morsali Arzanq, Ebrahim Abbasi

“…In this regard, the return was modeled based on changes in profit forecast using the autocorrelated moving average (ARMA) model, and the fluctuations of this return were modeled using the generalized autoregressive conditional heteroscedastic (GARCH). …”
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Boundary Value Problems on a Star Thermal Graph and their Solutions by L.A. Alexeyeva, A.N. Dadayeva, D.A. Prikazchikov, N.Zh. Ainakeyeva

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Application of the method of insignificant divergences to diagnose the technical aircraft gas turbine engine state under the transient-state conditions of its operation by O. F. Mashoshin, I. G. Kharmats

“…The construction of a linearized mathematical model for the transient-state condition of the generalized-scheme aircraft GTE operation has been considered. …”
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Change of primary health care service provider model in Vantaa: the impact on mortality and causes of death among older adults – a register-based follow-up study by Aina Enckell, Hanna-Maria Roitto, Hannu Kautiainen, Mika T. Lehto, Kaisu H. Pitkälä, Timo Kauppila, Merja K. Laine

“…To address this, the city of Vantaa, Finland, transitioned from a named general practitioner (GP) model to a restricted-list GP model in 2011 to increase access to named GPs for the most vulnerable population. …”
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Gaussian Versus Mean-Field Models: Contradictory Predictions for the Casimir Force Under Dirichlet–Neumann Boundary Conditions by Daniel Dantchev, Vassil Vassilev, Joseph Rudnick

“…This contradiction with the “boundary condition rule” is cured in the case of the Gaussian model under DN BC. …”
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Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions by Selçuk Usta

“…This study aims to test the usability of mass transfer-based Dalton, Rohwer, Penman, Romanenko, WMO and Mahringer models in Van Lake microclimate conditions and to calibrate them in compatible with local conditions. …”
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Leadership Models and Leadership Styles as Success Factors in Small and Medium-sized Enterprises by Georg Thomas

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Evaluating model generalization for cow detection in free-stall barn settings: Insights from the COw LOcalization (COLO) dataset by Mautushi Das, Gonzalo Ferreira, C.P. James Chen

“…Leveraging the newly released public dataset, COws LOcalization (COLO) dataset, we explore three key hypotheses: (1) Model generalization is equally influenced by changes in lighting conditions and camera angles; (2) Higher model complexity guarantees better generalization performance; (3) Fine-tuning with custom initial weights trained on relevant tasks always brings advantages to detection tasks. …”
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Evaluation of interlocking block pavement performance under varying construction conditions by model chamber tests by Inhyun Kim, Choong-Ki Chung, Jung-Hyun Ryu

“…Finally, the elastic modulus, estimated from transmitted stress, reached higher values of 5417.06 and 2075.45 MPa for general and heavy-duty blocks, respectively, under optimal construction conditions. …”
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Magnet Shape Modeling in Slotless Axial Flux Permanent Magnet Machines Under No-Load Conditions by Farhad Rezaee-Alam

“…This paper presents a new 3D analytical model based on the Fourier–Bessel series for electromagnetic modeling of the performance of slotless axial flux permanent magnet (AFPM) machines under no-load conditions. …”
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Benefits of Multi-Terminal HVdc Under Extreme Conditions via Production Cost Modeling Analyses by Quan Nguyen, Hongyan Li, Pavel Etingov, Marcelo Elizondo, Jinxiang Zhu, Xinda Ke

“…First, the PCM model of a general MTdc grid is developed to be seamlessly added to existing scalable PCM model of an ac power system. …”
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Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice by Constantijn J. Berends, Roderik S. W. van de Wal, Paul A. Zegeling

“…In general, this work underlines the importance of thoroughly verifying the numerical solvers used in ice-sheet models, before applying them to future projections of ice-sheet mass loss.…”
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Uncertainty Assessment Framework for IGBT Lifetime Models. A Case Study of Solder-Free Modules by Ander Zubizarreta, Markel Penalba, David Garrido, Unai Markina, Xabier Ibarrola, Jose Aizpurua

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Ecological niche modeling of Prosopis africana (Guill., Perrot., and Rich.) Taub in Togo, West Africa under current and future climate conditions by Rachida Gbadamassi, Mahunan Eric José Vodounnon, Hèou Maléki Badjana, Guede Noël Zirihi, Kpérkouma Wala, Komlan Batawila, Koffi Akpagana

“…In predicting the distribution of P. africana, we evaluated the performance of five species distribution models (SDMs): Random Forest (RF), General Additive Model (GAM), Boosted Regression Tree (BRT), Maximum Entropy (MaxEnt), and General Linear Model (GLM). …”
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Shaping a positive occupational safety climate in general practice teams—findings of the baseline survey of the cluster randomized IMPROVEjob trial by Anke Wagner, Esther Rind, Stephanie Burgess, Irina Böckelmann, Beatrice Thielmann, Beatrice Thielmann, Helen Heinz, Achim Siegel, Verena Schröder, Karl-Heinz Jöckel, Karl-Heinz Jöckel, Anika Hüsing, Anika Hüsing, Claudia Pieper, Anna-Lisa Eilerts, Tanja Seifried-Dübon, Florian Junne, Brigitte Werners, Annegret Dreher, Lukas Degen, Birgitta M. Weltermann, Monika A. Rieger

“…Bivariate analysis mainly revealed associations between occupational safety climate and several aspects of working conditions. The regression model revealed the following important factors for perceived positive occupational safety climate (assessed by the scale company standards): supervisor support for occupational safety (β = 0.43) and job satisfaction (β = 0.22).DiscussionLeadership and job satisfaction were identified as main factors shaping a positive occupational safety climate (scale company standards) in our regression model built on data from German general practices and their practice teams. …”
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